Table of contents
UT4M presentation
Races
Kinds of races
Participants
The four moutains of the UT4M
Context of the project
Morphological remodeling
Stackholders
Researchers of the HP2 laboratory
Researchers of the LJK
M2 SSD Student
Dataset presentation
Data collection time points
Variables of the study :
Variables of interests :
Number of subjects by race
| Races | Subjects | Dropouts |
|---|---|---|
| 40km | 18 | 0 |
| 100km | 12 | 1 |
| 160km | 29 | 11 |
| 4x40km | 20 | 4 |
Summary of the variables of interest
| Variables | Average | Minimum | Median | Maximum | Missing values | Missing values (%) |
|---|---|---|---|---|---|---|
| VOL_OGI | 39.66 | 24.58 | 37.23 | 65.79 | 7 | 9% |
| VOL_ODI | 33.56 | 19.61 | 32.98 | 51.05 | 7 | 9% |
| VTDVGI | 64.28 | 50.56 | 64.71 | 88.41 | 7 | 9% |
| VTSVGI | 28.57 | 18.78 | 28.83 | 40.1 | 8 | 10% |
| FE2D | 55.28 | 45 | 54 | 71 | 10 | 13% |
| STDi | 12.47 | 9.38 | 12.46 | 16.28 | 7 | 9% |
| STSi | 6.9 | 4.9 | 6.7 | 9.94 | 7 | 9% |
Objectives of the project
Analyze and model the evolution of heart morphology over the time according several dimensions
Challenges of the project
Learn and compare performance between Julia and R
First tasks
Conversion of column data to row data
| ID | FE2D_PRE | FE2D_POST | FE2D_D_2 | FE2D_D_5 | FE2D_D_10 |
|---|---|---|---|---|---|
| 1 | 58 | 65 | 56 | NA | 55 |
| Time | FE2D |
|---|---|
| -2 | 58 |
| 1 | 65 |
| 3 | 56 |
| 6 | NA |
| 11 | 55 |
Handling of missing values
Anonymization of individuals
Identification of the dropouts and non-participants
What’s next ?
Multiple tests to compare times points and races
Spline to modelise data time points
Start workings with the 4x40km race